Senior Software Engineer at Infralift LLC

Designed and implemented production-oriented software features across multi-component architectures using Python, JavaScript/TypeScript, React, Node.js, GraphQL, and AWS services. Built Python-based automation and data-processing workflows to handle failure conditions, edge cases, and integration issues across distributed systems. Translated business/engineering requirements into clear technical specifications and maintainable reference implementations. Debugged complex behavior across frontend, backend, APIs, and cloud infrastructure layers. Built and validated AI-enabled workflows using AWS SageMaker, generative AI tooling, and Python-based services; reviewed discrepancies against expected outputs and proposed technically sound fixes and refactoring strategies. Designed tests covering normal behavior, boundary conditions, error handling, and regression risks. Applied AI-assisted development tools to accelerate analysis while independently validating generated implementations for c

Senior Software Engineer at infralyft LLC

Developed and maintained scalable web applications and learning management tools for AWS Cloud Institute, enabling on-demand and live instructor-led cloud training courses for thousands of learners across diverse regions. Designed full-stack solutions using React, Node.js, GraphQL, and AWS services such as Lambda, API Gateway, DynamoDB, and S3. Integrated AWS tools like CodeWhisperer and SageMaker to provide hands-on experience with generative AI, machine learning, and Python-based workflows. Built Python scripts for automating data processing tasks and integrating AWS services, improving operational efficiency.

Full Stack Engineer at Premier Agent Network

Engineered comprehensive full-stack features using Next.js (frontend), FastAPI, and Python (backend), resulting in a 40% increase in user engagement and enhanced page performance. Designed and deployed scalable services leveraging AWS (Lambda, API Gateway, ECS, RDS) and GCP (Cloud Run, Pub/Sub), significantly boosting system scalability and minimizing latency. Implemented robust authentication and authorization mechanisms alongside API governance standards, effectively lowering vulnerability reports by 30%. Developed CI/CD automation using GitHub Actions and GCP Cloud Build, effectively reducing deployment cycles by 50%. Guided junior engineers and actively participated in cross-functional design reviews, ensuring cohesive alignment between frontend user experience and backend service architecture.

Software Engineer at Amazon Web Services

Developed and maintained backend APIs and microservices using Java and Spring Boot, enhancing application performance by 20%. Automated CI/CD pipelines with Jenkins, facilitating 50% faster delivery cycles. Integrated various third-party APIs and services, thereby enhancing application capabilities and user functionality. Constructed foundational cloud components on AWS, including EC2, S3, and RDS, positioning the platform for future cloud-native infrastructure. Championed refactoring initiatives to transition legacy systems into modular architectures, improving maintainability and reliability. Coordinated with frontend engineers in developing React applications, ensuring alignment between backend data models and user interface behaviors.

Software Engineer at Amazon Web Services (AWS)

Developed backend microservices using Python, FastAPI, and Java in AWS environments, improving processing throughput by ~30%. Diagnosed application and distributed-system failures using log analysis, code tracing, database inspection, and controlled testing. Designed asynchronous service workflows using Kafka and RabbitMQ, validating behavior across failure, retry, and high-throughput scenarios. Refactored backend services and database workflows to improve scalability, reliability, and maintainability. Evaluated system behavior against functional requirements and investigated discrepancies between intended and observed outputs. Optimized PostgreSQL queries and Redis caching strategies, reducing data retrieval latency by ~25%. Collaborated with engineers through peer reviews, implementation feedback, testing, and technical documentation.

Software Engineer (AWS) at Amazon Web Services (AWS)

Developed robust backend microservices using Python, FastAPI, and Java, improving data processing throughput by 30% and optimizing service performance within AWS-based environments. Integrated AWS-hosted messaging workflows leveraging Kafka on AWS MSK and RabbitMQ on EC2, enabling asynchronous communication between microservices and boosting processing efficiency by 25%. Streamlined cloud workloads across AWS (EC2, ECS, Lambda), storage (S3), and networking configurations, improving resource utilization and reducing infrastructure costs by 15%. Designed database-optimized queries and caching strategies using Amazon RDS for PostgreSQL and Amazon ElastiCache for Redis, decreasing data retrieval time by 25%.